Statulator is a free on-line statistical calculator that conducts statistical analyses, interprets the results, and makes suggestions for presenting the results in reports, journal articles and dissertations.
We have worked very hard to keep our tools extremely simple and user friendly. We believe that you should spend less time on conducting analyses and more time evaluating the trends in your data.
We believe that everyone should be able to convert data into information regardless of their place of birth. That is why Statulator is 100% free and can be used on any device with an internet access.
Statulator conducts all computations directly in the browser of your computer. This means that you do not have to upload your data to any server and it remains safe with you.
As we look ahead into the next century, leaders will be those who empower othersBill Gates
About the Creators
Dr Navneet Dhand
Navneet is an epidemiologist who is passionate about making statistical methods simpler for students. He had previously developed some SAS macros to simplify regression modelling but the use of macros required prior understanding of SAS statistical program. Statulator was developed based on the same basic idea to simplify analyses but it is available online and doesn’t require prior understanding of any programming language.
Navneet has more than 15 years of teaching epidemiology and biostatistics and currently lectures at The University of Sydney, Australia
Dr Mehar Khatkar
Mehar is a geneticist with special interest in computational genomics, statistical modelling and data analysis, gene discovery and genomic prediction. He is passionate about making analysis process simpler by writing R functions and pipelines. Small or big data, descriptive statistics and visualization is first and most important task for summarising data and discovering interesting patterns. Statulator makes it simple just in few clicks.
“The goal is to turn data into information, and information into insight”Carly Fiorina
Statulator enables seemingly miraculous outcomes for people who have data, without forcing immersion in statistics. Much of what we need to know about the world can come simply from summarising data and visualising basic outcomes, which this program semi-automates and then tests statistically. We have used Statulator in workshops in developing countries to give local scientists the wherewithal and confidence to unlock the information within their data, and enable them to focus on getting meaningful results for society. It has brought satisfaction (even pleasure) to many different people in our region.
Fantastic tool for researchers and students
Statulator is a fantastic tool for researchers and students, and it is the first tool I go to when I need to do sample size calculations. Its wide range of settings and input choices make it highly flexible and powerful. I also use it when teaching students about sample size calculations, and I strongly recommend it for use in their own work because its clear and easy to use interface, combined with its clear and comprehensive explanations and interpretations, are invaluable for students. Lastly, the fact that it is free is both highly admirable and very helpful to students without the means to access expensive software.
Such a handy tool!
Statulator is such a handy tool for preliminary data analysis: concise, convenient and easy-to-interpret. Sample size calculation, descriptive statistics and Chi-squared test can be effortlessly done in a few clicks on the same site, and the results are displayed in clear layout. Many thanks for your work! It makes data analysis much easier.
You have a fabulous site! Kudos and thanks. I've used the UCSF Designing Clinical Research appendices for many years (I taught the clinical design workshop back in the 1990s), and I'm so pleased to find your thoughtful, easy-to-use, flexible, clear, and visually appealing site. Grade of A+.
Statulator solved everything
I would like to express my thanks for such a fabulous work. We organise research methodology foundation workshops for about 250 graduate and post graduate medical student each year. Earlier, we were using Open epi tools to calculate sample size but how to write up the calculation was missing. But your statulator solved everything!
We are thankful to everyone who directly or indirectly helped in the development of these tools. Special thanks are due to Jayant Khatkar for writing the d3 functions used for visualisations. We are also grateful to the developers of following packages or libraries that we used in developing Statulator.
We are particularly grateful to those who tested our alpha version and provided us constructive feedback including Peter Thomson, Vidya Bhardwaj, Sarita Guy and Miles Theurer.
We wouldn’t have developed these tools without huge support from our families. Thank you.